Top 10 Statistics Schools in the World


Hi, everyone, I'm Sam Clark with Crimson Education, and this is the Top 10 Statistics Schools in the World. They're all above average, a statistics joke. 

My friend, Gus, wrote it. - You suck. - Thank you. A bit of a disclaimer before I start the list. This list is based on the QS World Rankings, which includes such factors as employer reputation, academic citations, and more.


So it's, by no means, the definitive list, but it's a pretty good one, all things considered. But, if you want to learn more about what school is the best fit for you and for what you want to study and you'll get connected up with one of our academic experts on a free consultation to send you on to the school of your dreams. 

So, let's get started

Number 10 on our list is Carnegie Mellon University, or CMU, located in Pittsburgh. 

The statistics and data science program at CMU places a large emphasis on flexibility, allowing its students to apply their statistics learnings to a number of real world problems. 

You can focus on a number of different tracks at CMU, including stat core, stat machine learning, economic stats, math stats and a neuro stats, all of which can be applied to a wide range of disciplines. 

Number nine on our list is the National University of Singapore, or NUS. 

The department of statistics and applied probability at NUS offers two distinct degrees within statistics. The first is just statistics, and the second is data science and analytics. 

NUS offers several applied research concentrations within their statistics and data science departments. 

The focus of those includes quality control and engineering, marketing research, finance, economics, survey methodology, and statistical genetics. 

Number eight on our list is the Georgia Institute of Technology. 

Statistics research at the Georgia Institute of Technology focuses on four main application areas, which are advanced manufacturing, logistics, health informatics, and quality and reliability engineering. 

And, if you're a student at the Georgia Institute of Technology, you'll also probably do a lot of work with other outside research organizations, including Children's Healthcare of Atlanta, the Chinese Academy of Sciences in Beijing, and the Centers for Disease Control and Prevention. 

Number seven on our list is University of Oxford's department of statistics. 

At Oxford you can either get a three-year BA program or a four-year master's program with a focus on mathematics and statistics, which is a collaboration with their world-renowned mathematics department. 

Research specialties in the department of statistics at the University of Oxford include machine learning, genomics and networks.

Number six on our list is the University of California Berkeley. 

The statistics program at UC Berkeley prides itself on, not only pushing students to focus on methodology and on the theory behind statistics, but also on applying a lot of that research and a lot of that work to real world problems, such as AIDS research, the U.S. Census and neurophysiology. 

Berkeley is also home to the Berkeley Statistics Industry Alliance Programme, which connects students and faculty with many industry leaders, really across industries, and it creates this very cool sort of connection between the private sector and UC Berkeley's faculty and research. 

Number five on our list is the University of Cambridge and their department of pure mathematics and mathematical statistics. 

University of Cambridge faculty has also won six Fields Medals, hunh. That's great.
Cambridge is home to the Statistics Clinic which offers free statistical consulting services to all university members regardless of what department they're in. 

Number four on our list is ETH Zurich.

 If you're studying statistics at ETH Zurich, you're probably studying it in the department of mathematics or in the department of computational science and engineering. 

Both of these departments approach statistics and approach their research in slightly different ways, of course. But in either case you're getting one of the best statistical programs in the world. 

Number three on our list is Stanford University. 

You can't major in statistics at Stanford, but they encourage students who are interested in statistics in majoring in mathematical and computational science. 

However, you can get a statistics minor and a data science minor. 

Stanford prides itself on giving its students many opportunities to do statistical research during the summer, oftentimes in collaboration with biology and other departments. 

Number two on our list is Harvard. 

Harvard's statistics offers four distinct tracks, and those are: one, core statistical principles and methods; two, data science; three, quantitative finance; and four, bioinformatics and computational biology. 

If you study statistics at Harvard, you can probably go on to a lot of high-paying jobs at tech giants such as Google, at finance giants such as Goldman Sachs, and at many other giants across industries.
Statistics students at Harvard get a lot of money after they graduate (cash register jingling). 

And the number one school on our list, no surprise to anyone, is the Massachusetts Institute of Technology. 

Now, MIT does not actually have a statistics department, but it is still the number one school on our list because they study statistics in many, many other departments, and they're the best in the world at doing it. 

You can, however, get a minor in statistics and data science at MIT, which is a pretty recent development. 

And, after the undergraduate level, there is an interdisciplinary PhD in statistics that MIT offers which, much like its undergrad program, is the best in the world. 

MIT recommends that graduate students who are interested in statistics go to one of two research centers. 

The first is the Operations Research Centre, and the second is the Electrical Engineering and Computer Science program. 

So, again, even though MIT does not strictly have a statistics department, per se, they have a lot of tracks for students who are passionate about statistics and want to apply them to other fields, such as computer science or electrical engineering.

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